Freenome
Spot the pattern. Treat the cancer.
Senior Software Engineer
Location
United States
Posted
10 days ago
Salary
$161.9K - $227.3K / year
Bachelor Degree6 yrs expEnglishAzureCloudGoogle Cloud PlatformKubernetesLinuxPython
Job Description
• Lead projects end to end and contribute to impactful platform initiatives that power R&D, operational excellence and business intelligence analytics
• Partner with engineers, scientists, product managers and business teams to identify high-leverage opportunities and build common solutions
• Integrate open-source, enterprise and SaaS technologies into our evolving stack
• Design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation and scaling
• Contribute to the growth of our Data Lakehouse platforms, enabling well governed data products for analytical and operational use cases
• Continuously improve the Research Platform to meet our Science’s evolving needs for experimentation, ML Ops, data processing and analysis
• Help shape how we approach data modeling, context engineering and emerging semantic layers to make data easier to discover and to use
• Advocate for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability
• Explore and pilot AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization
• Collaborate through system design, code reviews and pairing, promoting a strong team culture of accountability, learning, and psychological safety
• Support platform users to troubleshoot issues and unblock critical work
• Model Freenome’s values and principles in your work and interactions
Job Requirements
- 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar
- Proficiency with Python and experience with one or more other high-level programming languages
- Strong knowledge of Linux fundamentals including networking and containerization
- Hands-on experience operating cloud services, storage and compute using IaC with at least one major cloud provider, preferably Azure or GCP
- Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes
- A pragmatic approach to reliability, observability, performance tuning, and operational excellence
- Excellent communication and documentation skills
- Comfort with cross-functional collaboration and navigating tradeoffs
- BS or higher in computer science or a related technical field, or comparable experience
Benefits
- You will also be eligible to receive equity
- cash bonuses
- a full range of medical
- financial
- and other benefits depending on the position offered